kaishijeng Goto Github PK
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AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
3D Reconstruction / Pseudo LiDAR via Deep Learning
Created vehicle detection and tracking pipeline with two approaches: (1) deep neural networks (YOLO framework) and (2) support vector machines ( OpenCV + HOG).
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Reinforcement Learning codebase for self-driving car in Carla
Simultaneous object detection and tracking using center points.
Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks (AAAI 2019, oral)
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
Built a real-time lane departure warning system with a monocular camera, using OpenCV.
Face Renderer to perform Domain (Face) Specific Data Augmentation
Official PyTorch implementation of HANet (CVPR 2020)
A PyTorch implementation of the paper《Towards End-to-End Lane Detection: an Instance Segmentation Approach》
End-to-end Lane Detection for Self-Driving Cars (ICCV 2019 Workshop)
TPU accelerated traffic lane segmentation engine for your Raspberry Pi
Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020
Self driving car lane and path detection
Repository for the paper entitled "PolyLaneNet: Lane Estimation via Deep Polynomial Regression"
Generating RGB photos from RAW image files with PyNET
a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet
Lane detection using Encoder-Decoder Model with ConvLSTM and CNNs
implementation for paper "ShelfNet for fast semantic segmentation"
A live deep neural network based lane/path detection system based on SuperCombo
YOLOv4, YOLOv3, YOLO-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.